September 28, 2017
8:00 am - 5:00 pm
Instructors: Kari Jordan, Christina Koch, Karl Broman
Data Carpentry workshops are for any researcher or professional who has data they want to analyze, and who wants to learn more about tools and techniques for working with data.
This hands-on workshop will cover how to work more effectively with data and an introduction to programming in R. By the end of the workshop, participants should be able to load data, conduct simple analyses, and produce basic visualizations. They will also be aware of best practices for data management to enable reproducibility.
No prior computational experience is required. Participants should bring their laptops and plan to participate actively.
Who: Participants in the National Society for Black Engineers Professional Development Conference, who want to learn more about (and get hands-on experience with!) data management practices and tools. In order to attend, please register through the eventbrite link above or contact the organizer.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.
Contact: Please mail email@example.com for more information.
Please be sure to complete this survey before the workshop.
To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.
Please follow these Setup Instructions.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
|8:00a - 830a||Software Installation Help|
|8:30a - 9:00a||Introduction|
|9:00a - 10:00a||Data Organization in Spreadsheets|
|10:00a - 10:15a||Break|
|10:15a - 11:00a||Data Cleaning in OpenRefine|
|11:00a - 11:15a||Break|
|11:15a - 12:00p||Introduction to R and RStudio [Script from workshop]|
|12:00p - 1:00p||Lunch|
|1:00p - 2:45p||Data Structures & Exploring Data Frames [Script from workshop]|
|2:45p - 3:00p||Break|
|3:00p - 4:30p||Creating Publication Quality Graphics [Script from workshop]|
|4:30p - 5:00p||Workshop Wrap-Up (Post workshop survey: Post-workshop Survey)|